Design and implement high-performance pipelines for on-chain data parsing, calculation, and aggregation across multiple blockchain networks (EVM, Solana, etc.).
Architect and optimize Java-based distributed microservices for real-time and batch data processing.
Build data computation layers that support ultra-fast statistical calculations, such as token prices, swaps, liquidity metrics, and protocol-level KPIs.
Collaborate with data engineering teams to integrate pipelines with Kafka, Redis, RDS, and data lake environments.
Design and manage scalable data models supporting multi-chain and historical data.
Develop fault-tolerant, monitored, and auto-recoverable backend systems with zero downtime.
Establish strong observability and performance monitoring for parsing and computation modules.
Contribute to system-level architecture discussions and ensure alignment with long-term data platform strategy.

8+ years of experience in backend development with Java, including Spring Boot / Spring Cloud.
Solid understanding of blockchain fundamentals —transactions, events, state changes, and node RPC interaction.
Strong experience with distributed systems, streaming data, and real-time computation frameworks.
Deep familiarity with commonly used middleware such as Kafka, Redis, MySQL,MongoDB,xxl-job and caching strategies for high-throughput workloads.
Strong knowledge of microservice performance tuning and low-latency design (threading, async, batching).
Excellent communication, documentation, and collaboration skills.
Experience in Reactor would be an added value.

Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Java Backend Engineer – Web3 Data

Key skills